Stride, Inc.
AIEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Engineer at Stride, Inc.. Skills: Applied AI, Machine learning, ML pipelines, Data products. Develop and deploy AI-powered data products. Design AI models”
What You'll Achieve.
Improve student retention; Improve academic outcomes; Drive measurable business outcomes; Deliver improved academic outcomes; Meaningful impact on students
Industry & Context.
Problem solving; Analytical skills
Clear background check
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Math, Physics, Engineering, or related quantitative field, Six (6) years’ related experience, Hands-on experience with modern ML libraries, Proficiency with AWS, Azure, Docker, Kubernetes, and Terraform, Ability to design, implement, and maintain robust ML pipelines, Ensures model integrity and reliability, High attention to detail, High level of accuracy, analytical skills, customer service orientation, Professional integrity, planning skills, Ability to manage multiple projects simultaneously, Excellent verbal, and written communication skills, Ability to complete assigned duties within critical deadlines, Ability to work independently and in a team environment, Proficient with Microsoft Office, Proficiency with modern reporting platforms and tools, Ability to grasp complex platform concepts and business models, Ability to clear required background check
Nice to Have
Master’s/Doctorate preferred, Additional experience with MLOps frameworks, Additional experience with advanced ML techniques
What You'll Do.
Develop and deploy AI-powered data products
Rollout AI models to production
Provide technical guidance to cross-functional teams
Develop understanding of Stride’s business objectives
Use AI to improve student retention
Use AI to improve academic outcomes
Manipulate and summarize data
Set priorities for complex projects
Facilitate collaborative work on complex projects
Drive creation of production AI products
Apply expertise in applied AI
Present data to understand user interaction
Provide strategic influence with Product and Engineering teams
Collaborate with IT managers
Collaborate with data stewards
Collaborate with data engineers
Ensure AI workflows are provisioned with high-quality data
Follow best practices in security
Follow best practices in privacy
Inform product direction
Influence product direction
Support product direction
Translate business needs into AI solutions
Drive measurable business outcomes
Ensure AI output is measurable
Ensure AI output is documented
Ensure AI output is reproducible
Monitor AI output for performance drift
Implement practices for continuous improvement
Implement practices for retraining
Manage development of AI resources
Gather requirements for AI resources
Organize data sources for AI resources
Support integration of AI models into product
Hold thought leadership role
Define strategies to improve academic outcomes
Evaluate strategies to improve academic outcomes
Leverage applied AI expertise
Ensure AI capabilities support schools
Ensure AI capabilities support school services teams
Facilitate adoption of actionable data
Facilitate use of actionable data
Deliver improved academic outcomes
Identify new opportunities to leverage AI
Define new opportunities to leverage AI
Support Stride’s mission
Support Stride’s vision
Support Stride’s long-term goals
Inspire colleagues to harness AI
Inspire stakeholders to harness AI
Harness AI for meaningful impact on students
How You'll Work.
Team & Collaboration
Cross-functional teams; Product teams; Engineering teams; IT managers; Data stewards; Data engineers
Communication Scope
Verbal communication; Written communication
Process & Methodology
Manage multiple projects
Full Job Description
**Job Description** **SUMMARY** : The AI Engineer is responsible for end-to-end development and deployment of AI-powered data products based on machine learning over large data sets. The AI Engineer will be responsible for model design, evaluation, and production rollout using standardized Stride coding best practices. The AI Engineer will provide technical guidance to cross-functional teams and develop an understanding of Stride’s business objectives, using AI to improve student retention and academic outcomes. The AI Engineer is deeply experienced, passionate about solving problems through applied ML techniques, comfortable manipulating and summarizing data, and able to set priorities and facilitate collaborative work on complex projects. They will drive the creation of production AI products directly linked to actionable business decisions. **ESSENTIAL FUNCTIONS:** Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties. * Applies expertise in applied AI, model, API, and pipeline creation, as well as the presentation of data to see beyond the numbers and understand how our users interact with our core products; * Provide strategic influence with Product and Engineering teams to solve problems and identify trends and opportunities; * Collaborates with IT managers, data stewards, and data engineers to ensure that AI workflows are efficiently provisioned with high-quality data and follow best practices in security, privacy, and scalability; * Informs, influences, and supports product direction by translating business needs into innovative yet practical AI solutions that drive measurable outcomes; * Ensures that AI output is measurable, documented, reproducible, and actively monitored for performance drift. Implements practices for continuous improvement and retraining as needed; * Manages the development of AI resources by gathering requirements, organizing data sources, and supporting the integration of AI model
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